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mHealth Monitoring System for Hospitalised Older Adults – Current Issues and Challenges

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Mobile Health

Abstract

The mobile healthcare (mHealth) applications are becoming increasingly important in monitoring and delivery of healthcare interventions. They are often considered as pocket computers, due to their advanced computing features and diverse capabilities. Their sophisticated sensors and advanced software applications make mHealth based applications more feasible and innovative. Advanced engineering, communication and information technologies combined with medical and clinical knowledge enable the possibility of remote, wireless, continuous monitoring of physiological parameters. These technologies facilitate the implementation of mHealth based patient monitoring and diagnostic systems virtually anywhere: home, hospital and outdoors (on the move). The proposed mHealth vital sign monitoring system in this chapter is aimed to help clinicians by illustrating the trace of critical physiological parameters, generating early warning/alerts and indicating any significant changes to the data. The system was validated with different set of collected data from 20 hospitalised older adults and achieved an accuracy of 95.83%, sensitivity of 100%, specificity of 93.15%, and predictability of 90.38% in compare with a clinician assessment for tachycardia, hypertension, hypotension, hypoxemia and hypothermia. Another important aspect of this chapter is to investigate challenges and critical issues related to the use of such applications in healthcare including reliability, efficiency, mobile phone platform variability, cost effectiveness, energy usage, user interface, quality of medical data, and security and privacy.

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References

  1. Nangalia, V., Prytherch, D.R., Smith, G.B.: Health technology assessment review: remote monitoring of vital signs–current status and future challenges. Crit Care 14(5), 233 (2010)

    Article  Google Scholar 

  2. Klingeberg, T., Schilling, M.: Mobile wearable device for long term monitoring of vital signs. Computer Methods and Programs in Biomedicine 106(2), 89–96 (2012)

    Article  Google Scholar 

  3. Yu, V.L., Madoff, L.C.: ProMED-mail: an early warning system for emerging diseases. Clinical Infectious Diseases 39(2), 227 (2004)

    Article  Google Scholar 

  4. Lin, C.-F.: Mobile Telemedicine: A Survey Study. Journal of Medical Systems 36(2), 511–520 (2012)

    Article  Google Scholar 

  5. Klasnja, P., Pratt, W.: Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics 45(1), 184–198 (2012)

    Article  Google Scholar 

  6. Garibaldi, J.: Fuzzy Expert Systems. In: Gabrys, B., et al. (eds.) Do Smart Adaptive Systems Exist? STUDFUZZ, vol. 173, pp. 105–132. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Basilakis, J., Lovell, N.H., Redmond, S.J., Celler, B.G.: Design of a Decision-Support Architecture for Management of Remotely Monitored Patients. IEEE Transactions on Information Technology in Biomedicine 14(5), 1216–1226 (2010)

    Article  Google Scholar 

  8. Kundu, M., Nasipuri, M., Kumar Basu, D.: Knowledge-based ECG interpretation: a critical review. Pattern Recognition 33(3), 351–373 (2000)

    Article  Google Scholar 

  9. Kyriacos, U., Jelsma, J., Jordan, S.: Monitoring vital signs using early warning scoring systems: a review of the literature. Journal of Nursing Management 19(3), 311–330 (2011)

    Article  Google Scholar 

  10. Farmer, A., Gibson, O., Hayton, P., Bryden, K., Dudley, C., Neil, A., Tarassenko, L.: A real-time, mobile phone-based telemedicine system to support young adults with type 1 diabetes. Informatics in Primary Care 13(3), 171–178 (2005)

    Google Scholar 

  11. Tatara, N., Årsand, E., Hartvigsen, G.: Patient-user involvement for designing a self-help tool for Type 2 diabetes. Therapeutic Strategies A Challenge for User Involvement in Design 336(7639), 53 (2010)

    Google Scholar 

  12. Tatara, N.: Designing mobile patient-centric self-help terminals for people with diabetes. In: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services Bonn, MobileHCI 2009, Germany (2009)

    Google Scholar 

  13. Cho, J.H., Lee, H.C., Lim, D.J., Kwon, H.S., Yoon, K.H.: Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system. Journal of Telemedicine and Telecare 15(2), 77–82 (2009)

    Article  Google Scholar 

  14. AgaMatrix (2012), JAZZ-Blood Glucose Monitoring System, http://www.wavesense.info/wavesense-jazz

  15. Al Ameen, M., Liu, J., Kwak, K.: Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications. Journal of Medical Systems 36(1), 93–101 (2012)

    Article  Google Scholar 

  16. Weerasinghe, D., Rajarajan, M., Rakocevic, V.: Device Data Protection in Mobile Healthcare Applications. In: Weerasinghe, D. (ed.) Electronic Healthcare. LNICST, vol. 1, pp. 82–89. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  17. CorScience. Boso-Medicus Prestige + BT: blood pressure meter, http://www.corscience.de/en/medical-engineering/products/blood-pressure/boso-medicus-prestige-bt-device.html

  18. Nonin. Onyx II, Model 9560- fingertip pulse oximeter, http://www.nonin.com/PulseOximetry/Fingertip/Onyx9560

  19. Accu-Chek. Accu-Chek Compact Plus Blood Glucose meter system, https://www.accu-chek.com/us/glucose-meters/compact-plus.html

  20. Omron. Omron MC-510 Instant Ear Thermometer, http://www.omronhealthcare.com.au/Omron-Instant-Ear-Thermometer.html

  21. McPhee, S.J., Papadakis, M.A., Rabow, M.W.: Current Medical Diagnosis & Treatment 2012. McGraw-Hill Medical (2010)

    Google Scholar 

  22. Sadegh-Zadeh, K.: Fuzzy health, illness, and disease. Journal of Medicine and Philosophy 25(5), 605–638 (2000)

    Article  Google Scholar 

  23. Innocent, P.R., John, R.I.: Computer aided fuzzy medical diagnosis. Information Sciences 162(2), 81–104 (2004)

    Article  Google Scholar 

  24. Kundel, H.L., Polansky, M.: Measurement of observer agreement. Radiology 228, 303–308 (2003)

    Article  Google Scholar 

  25. Lee, H.J., Lee, S.H., Ha, K.-S., Jang, H.C., Chung, W.-Y., Kim, J.Y., Chang, Y.-S., Yoo, D.H.: Ubiquitous healthcare service using Zigbee and mobile phone for elderly patients. International Journal of Medical Informatics 78(3), 193–198 (2009)

    Article  Google Scholar 

  26. Schleyer, T., Mattsson, U., Ni Riordain, R., Brailo, V., Glick, M., Zain, R., Jontell, M.: Advancing oral medicine through informatics and information technology: a proposed framework and strategy. Oral Diseases 17(suppl. S1), 85–94 (2011)

    Article  Google Scholar 

  27. Steele, R., Lo, A., Secombe, C., Wong, Y.K.: Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare. International Journal of Medical Informatics 78(12), 788–801 (2009)

    Article  Google Scholar 

  28. Dilmaghani, R.S., Bobarshad, H., Ghavami, M., Choobkar, S., Wolfe, C.: Wireless Sensor Networks for Monitoring Physiological Signals of Multiple Patients. IEEE Transactions on Biomedical Circuits and Systems 5(4), 347–356 (2011)

    Article  Google Scholar 

  29. Imhoff, M.: Medical Device Alarms–The Clinician, pp. 17–18 (2009)

    Google Scholar 

  30. Bergmann, J., McGregor, A.: Body-Worn Sensor Design: What Do Patients and Clinicians Want? Annals of Biomedical Engineering 39(9), 2299–2312 (2011)

    Article  Google Scholar 

  31. Macropinch, Personal Heart Rate Meter (2012), http://macropinch.com/cardiograph

  32. Lorenz, A., Oppermann, R.: Mobile health monitoring for the elderly: Designing for diversity. Pervasive and Mobile Computing 5(5), 478–495 (2009)

    Article  Google Scholar 

  33. Patrick, K., Griswold, W.G., Raab, F., Intille, S.S.: Health and the mobile phone. American Journal of Preventive Medicine 35(2), 177 (2008)

    Article  Google Scholar 

  34. Lim, Y., Hong, K., Kim, K., Shin, J., Lee, S., Chung, G., Baek, H., Jeong, D.-U., Park, K.: Monitoring physiological signals using nonintrusive sensors installed in daily life equipment. Biomedical Engineering Letters 1(1), 11–20 (2011)

    Article  Google Scholar 

  35. Apiletti, D., Baralis, E., Bruno, G., Cerquitelli, T.: Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Transactions on Information Technology in Biomedicine 13(3), 313–321 (2009)

    Article  Google Scholar 

  36. Hung, M.-C., Jen, W.-Y.: The Adoption of Mobile Health Management Services: An Empirical Study. Journal of Medical Systems 36(3), 1381–1388 (2012)

    Article  Google Scholar 

  37. Carrión, I., Fernández-Alemán, J.L., Toval, A.: Usable Privacy and Security in Personal Health Records. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part IV. LNCS, vol. 6949, pp. 36–43. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  38. Yonglin, R., Pazzi, R.W.N., Boukerche, A.: Monitoring patients via a secure and mobile healthcare system. IEEE Wireless Communications 17(1), 59–65 (2010)

    Article  Google Scholar 

  39. Wang, Y., Lin, J., Annavaram, M., Jacobson, Q.A., Hong, J., Krishnamachari, B., Sadeh, N.: A framework of energy efficient mobile sensing for automatic user state recognition, pp. 179–192 (2009)

    Google Scholar 

  40. Medjahed, H., Istrate, D., Boudy, J., Dorizzi, B.: A fuzzy logic system for home elderly people monitoring (EMUTEM). Fuzzy Systems (2009)

    Google Scholar 

  41. Fjeldsoe, B.S., Marshall, A.L., Miller, Y.D.: Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine 36(2), 165–173 (2009)

    Article  Google Scholar 

  42. Abroms, L.C., Ahuja, M., Kodl, Y., Thaweethai, L., Sims, J., Winickoff, J.P., Windsor, R.A.: Text2Quit: Results From a Pilot Test of a Personalized, Interactive Mobile Health Smoking Cessation Program. Journal of Health Communication 17(suppl.1), 44–53 (2012)

    Google Scholar 

  43. Pollonini, L., Rajan, N., Xu, S., Madala, S., Dacso, C.: A Novel Handheld Device for Use in Remote Patient Monitoring of Heart Failure Patients—Design and Preliminary Validation on Healthy Subjects. Journal of Medical Systems 36(2), 653–659 (2012)

    Article  Google Scholar 

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Correspondence to Mirza Mansoor Baig .

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Baig, M.M., Gholamhosseini, H., Connolly, M.J. (2015). mHealth Monitoring System for Hospitalised Older Adults – Current Issues and Challenges. In: Adibi, S. (eds) Mobile Health. Springer Series in Bio-/Neuroinformatics, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-12817-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-12817-7_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12816-0

  • Online ISBN: 978-3-319-12817-7

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